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NEUTRON SPECTRUM DETERMIN TION BY
MULTIPLE FOIL CTIV TION METHOD
By
E
M.
ZSOLN Y
and
E.
J
SZONDI
Nuclear Training
Reactor
of
the Technical University Budapest
Received February 8 1982.
Presented by Dir. Dr. Gy. Csml
1 ntroduction
In case of determining neutron
flux
density spectra from multiple
foil
activation measurements one meets the problem of solving the following type
of activation integral equations:
x
A = SO ;(E)l/>(E)
d
i=
1(1)n
1)
o
where:
A
is
the experimentally determined saturation actIvIty per target
nucleus of the i
t
foil
detector extrapolated to infinite dilution
O ;(E) is
the energy dependent activation cross section
l/>(E)
is
the neutron flux density per unit energy interval
n -
is
the number of foil detectors used in the experiment.
In the practice one uses a discrete interval description of the neutron
energy range considered rather than a continuous representation by analytical
functions. Since the number of equations in this case
is
generally much smaller
than the number of unknowns that
is
the freedom of the system
is
rather high
the solution is not unique and the neutron flux spectrum cannot be derived
from these data without a priori assumption on the initial neutron spectrum
based on all physical informations available in the given case.
Several neutron spectrum unfolding computer codes [1-6 etc.J based
on
different philosophies have been used so far in the literature for the solution of
this problem. In the present report the program SANDBP developed in our
Institute
is
described [12J and the neutron spectrum in the centre of the core of
our nuclear reactor determined with aid of this program is presented.
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32
E
ZSOLSAY-E.
SZOSDI
2. The neutron spectrum
unfol ing
code SANDBP
This code
is
a version of the well-known program SAND Il, being
enlarged and modified in its algorithm. The use of this program involves
several advent ages compared to the old version:
a)
the activity and cross section errors can be taken into account in the
unfolding procedure;
b)
different response data deriving from the solution neutron spectrum
can be calculated
e.g.
neutron dose rate, neutron material damage
characteristics such as dpa, etc.);
c)
informations can be obtained
about
the magnitude of errors involved
in the solutions;
d)
the so called GOS-values characterizing the goodness of solution can
be determined;
e) the covariance
and
correlation matrices of the solution spectrum can
be determined;
f) the variety of output data
is
greater than that one in case of the old
program.
2 1 Principles of the
S ND
iterative method
The computer code S ND II has been developed to determine the
neutron
flux
density spectrum from activity measurements of foil detectors
activated in the neutron environment to be investigated [1]. The mathematical
procedure for the method involves the selection of an initial approximation
spectrum, and subsequent perturbation of that spectrum by iterative adjust
ments, to yield a solution spectrum producing calculated activities that agree
within a given error limit with the measured activities.
This way the code provides a best fit neutron flux density spectrum for a
given input set of infinitely dilute foil activities.
The iterative algorithm used in the program may be written as
j
=
l l)m
2)
where
L wt
In A ; / A ~ )
~ =
:...i=-=-l
)
j 1 1)m
3)
~ ·
.... I
i
and
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SELTROS
SPECTRL\f
DETER.lfISATJOS
cf } is the kth iterative neutron flux density assumed constant) over the
r
energy interval,
q
is the kth iterative flux density correction term for the r energy
interval,
A
-
is
the calculated saturation activity for the ith detector, based on the
kth
iterative neutron spectrum,
m - is the total number of energy intervals,
is
the number of detectors used.
The }j
is
a weighting function, which
is
in good approximation
proportional to the relative response for the
i
th
detector:
i=l l)n
j
l l)m
i
= l l)n
i=
1 1)/1
j
l l)m
4)
5)
6)
and
u i j
is the reaction cross section for the ith detector averaged constant) over
the energy interval.
The energy range of the solution spectrum is represented in max.
620
intervals depending on the cross section library. The standard library of the
program [lJ contains 620 energy groups from 10-
10
MeV to
18
MeV 45 per
decade up to 1 Me V
and 170
between 1 MeV and
18
Me
V).
The code includes
the provision for calculating flux density attenuation by foil cover materials
including cadmium, boron-10 and gold.
2 2 Characteristics of the program SANDBP
2.2.1. Weighting function and solution criteria
Due to the form of the weighting function defined by Eq.
4),
the structure
of the reponse function for a given
foil
detector therefore cross section
structure) may be reflected after several iterations in the solution spectrum
[1, 7, 8]. This effect may be pronounced especially that case if substantial
activity measurement errors or library cross section errors are present in the
data
set applied, and as a result
an
extended number of iterations
is
requested
to achieve an appropriate solution.
3
Periodica Polytechnica
El. 26/1-2
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34 t.
ZSOLSA}
--E_ SZOSDI
To
decrease
the
role
of
artificial
structures
in the solution spectrum
the
weighting function in Eq. 4) has been modified
taken
into account the activity
and
cross section errors, as follows:
Wk.= fj _1_
x
_ 1 _ )
l
A k
<5
A-)U (bu ..)
I \ J
i=1 1)n
j 1 1)m
7)
where (bAJ
and 6Ui)
are the relative
standard
errors
of
the activity
and
cross
section values, respectively. The exponents
u and u
are input parameters
and
can arbitrarily be chosen. This possibility enables the user to take into
consideration the quality of the input data
during
the unfolding procedure.
If u J 0
no
weighting with errors is used, that is the weighting function
agrees with
that
one
used in the
program
S i ~ ~ N
H.
As
the positive) value
of u and v
is increasing
the
solution spectrum will be
determined more and more
by
the more accurate
activity
and
cross section
data. Generally, if
the
errors
of the
different cross section values in the library
and/or
the activity
errors
within
the
detector set applied are
near
each other, a
value between 0.5
and
1 for
it
and
v is
reasonable. Otherwise a value between
1.5
and
2
is
recommended [10].
Too
large value:
of
these
parameters
equals
of
discarding the reactions having larger errors from the unfolding procedure the
relative weight
of
these reactions becomes
too
small, see Eqs 3)
and
7».
The
solution
criteria
of
the original
program
have also been extended.
The
standard
deviation of measured to calculated activity ratios is calculated after
each iteration step, expressed in
per
cents:
E
per ent
- - - - - ~ - - - - - - - - - - - - - - - - x 100
8)
and
in confidence interval units:
9)
where ~ i is the calculated
saturation
activity of the ith foil in the kth iteration
step) taken into account in the
latter
case the uncertainty of the experimental
data
The
iteration
is
then stopped
if
any
of
the
above
defined values is smaller
than
the one defined as input.
The
specification
of
larger
u
values in Eq. 7) will
increase the speed
of
the convergence defined by Eq.
9).
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SEUTROS
SPECTRU.lf
DETER \IINATIOS
35
The iteration procedure
is
ended also in
that
case ifthe standard deviation
becomes stable within less that
~ ~
in two successive iterations, or if the
maximum number of iterations specified by the input is achieved.
2.2.2. Activity run
The program involves the possibility to calculate detector activities for a
given neutron spectrum [1]. This procedure is performed in an ACTIVITY
run. The activities per target atom are calculated in units of Bq. consequently
they are the integrals of the reponse functions see point 2.1.).
2.2.3.
Calculation of response functions
Any response function reaction rate, dose rate, dpa-value, etc.) deriving
from the solution neutron spectrum can be calculated with aid of the program:
or
j l l)m
m
R=
L
P P
J
{E
j
1
-E
j 1
where R is a response function
Pj is the desired conversion factor.
10)
11)
Using this procedure neutron dose rate values can directly be calculated
from the neutron flux density spectrum eliminating the approximation errors
deriving from the calculation of average neutron energy over the spectrum
regions considered [9].
Nevertheless, the average neutron energy
E)
can also be determined,
using neutron density values as weighting functions rather than neutron flux
density values being involved in the original S ND II algorithm.
Thus
12)
where
j
is
the neutron flux value in the
/h
energy group.
3*
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36
E Z S O L ~ A Y E . S Z O ~ I
2.2.4. Monte-Carlo
error
analysis
a) Calculation of error limits
With aid of the SANDBP's Monte-Carlo program error analysis can be
performed. In the course of the Monte-Carlo runs the input activities
and
cross
sections (assumed that these values
fo11mv
a normal distribution) are varied
in accordance to their
random
errors:
i=1 1)n
where
~
-
is
the
/h
random
value of the
ith
measured activity Ai'
dAi -
is
the
standard
error of Ai'
9
is
a
random
number from normal distribution.
Similarly,
i = 1(1)/1
j= l l)m
(13)
(14)
where Ji
j
is
the rtn
random
value
of
the ith reaction cross section in the
j h energy group.
The cross section values are varied independently from each other in m
energy groups. l'Jo correlation is assumed between cross section values of
different energy groups:
i j l
= 0 for all
j and
I.
Performing the neutron spectrum unfolding procedure with these
modified input data, the relative standard error in ther energy group of the
solution spectrum can be written
as:
.; k 1 k
\
I ) Or,2 . . : : . -
(fy
\
J
I
:: .
. j / k . J)
-'
_ I r 1 r l
_
w._ X
k- l )x k -2) 1 k
k
L
C{Jj
r=1
j=1 1)/ll
(15)
where k is the number of Monte-Carlo runs. k 10 is allowed by the program.
The relative errors of the response data are derived on the analogy of the
Eq. (15).
As
it is seen from this equation the error limits calculated by the program
are simple
standard
errors (67.5 confidence level).
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S£[:TRON SPECTRG . .f DETERMISA
nos
.J i
b) Goodness of solution
In separate Monte-Carlo runs the input spectrum <P
inp
) is varied:
m
in p
. r
=
<Dip
p
x
-L
0 1
0 )
't - ) I.
e
j
l l)m
16
and the change of the output spectrum in the function of the input spectrum
is
used to characterize the goodness of solution (GOS):
j
= l l)m
(17)
Let the functionality between the point pairs (cp Jut and
~ o ~ n p
be approximated
by polynomial regression:
j = l(1)m 18)
,H-l
GOS
= )
(I
+
1)
x a
l
+ 1 X
<p}np)1
1=0
j=
l l)m
19)
where
Iv
is the degree of the poly nom. M 3 is used in the curve fitting
procedure.
GOS = 0 means
that
the
output
spectrum does not depend
on
the input
spectrum. A
GOS
value differing from zero indicates a worse solution.
The latter may happen in the energy regions poorly or not covered by the
response of the detector set applied. In this case the algorithm of the program
performs
an
interpolation,
and
the solution spectrum may simply reflect the
input spectrum.
c) Covariance and correlation matrices
As a result of the Monte-Carlo runs one has a series of solution spectra,
which can then be used to determine the covariance
and
correlation matrices
of
the nominal solution spectrum.
The value of covariance between the neutron flux density values of theph
and [th energy groups can be expressed as:
k
\ [ J ~ m r
L.,
, J t 1
r 1
S J I =
k
where
k
is the number of Monte-Carlo runs.
j =
l l)m
l=l l)m
20)
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38
1:
ZSOL;\ A
l - E SZOS I
The value of the correlation coefficient for the same relation:
t
~
j
1(l)m
1= l 1)m 21)
k
k
2.2.5. Code input
The program requires as input
a
the measured (input) activity values of the foil detectors corrected for
neutron selfshielding,
b cross section library for the detector set applied,
c
a guess neutron spectrum (input spectrum),
d relative errors of the activity and cross section values.
The SAND II program package contains a subroutine (VIF), which
allows the recording of user s problem data with a maximum freedom of
restrictive format. The input format and the input
data
deck sequence
description can be found in the user s guide [11].
2.2.6.
Code output
The program can supply the following outputs:
a In case of ITERATION (spectrum unfolding) run:
- listing of all cards of the input
data
set;
- if the solution
is
achieved a table summarizing the final iterative results
is given, including the tabulation of the solution neutron spectrum.
b In case of MONTE-CARLO run:
- all the above items are given followed by their relative errors;
- the GOS-values are written;
- covariance and correlation data of the solution spectrum are written
on a magnetic tape and they can also be printed.
c In case of ACTIVITY run items similar to those ones given in
ITERATION run can be obtained.
d utput to plotter: Due to corresponding specifications in the input
data set the solution neutron spectrum and GOS-values can be plotted.
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SEG TROS SPECTRU.\f DETERMIS TIOS
39
2.2.7.
Coding language and computer
The program
is
written in IBM
FORTR N IV (G)
language for an
1024
Kbyte R -40 type computer under the control of the operating system IBM OS
MVT. The code needs a memory region of
300
Kbyte.
3.
Neutron spectrum determination
The Budapest Technical University s nuclear reactor
is
a swimming pool
type light-water reactor with a maximum power of
100
kW [15]. The neutron
spectrum in the core position D5 (Fig.
1)
was determined.
For
this purpose sets
of activation detectors were irradiated
and
the neutron spectrum was unfolded
using the computer program SANDBP.
01
o
/
1 J l ~
/
A 8
(
0
D
o e
: ~ ~ : : ? : ;
o
c
o
Irradiation
Detector
Graphite
Fuel
Special graphite
with air gap)
Graphite with
a voi
F
G
H
n
--'i
o
tunn l
\
®
Manual control
ro
®
Automatic control ro
®
Safety ro
1001
Rabbit system
[ ]
rradiation channel
Water
Fig
1. Horizontal cross section of the
10
kW reactor core
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40
t
ZSOLA A Y-£ SZOSDJ
3 1 Experimemal procedure
The activation detectors were used in form of thin foils, irradiated in two
separate runs
at
a reactor power level of
10
kW
[9]. The foils were covered by
aluminium
or
cadmium, respectively. Three separate foils (Au, Co,
Ni)
with
different responses were used to monitor the reactor power leveL
The irradiated foils were counted by means
of
a Ge(Li) semi-conductor
detector and a 4096 channel pulse amplitude analyser system. The detection
peak efficiency curve of the spectrometer had previously been established.
The saturation activities of the radionuclides of interest, which serve as
the input of the spectrum unfolding program, are shown in Table
1.
Tabie 1
Saturation acth ities per target atom/or deteclOrs used
in
the Uti/aiding procedure
AS lvtarget
tom
Ll
Reaction Cover
Half-life ~ [ ; ; J
[Bq]
.1'31
1 6 ~ D y n , Y
65
Dy*
139.2 min 6.35 E-10 5.82
164Dy(n, i,),
65
Dy*
Cd
139.2 min 6.32 E-12
1.89
2 ~ A I n , p ) 2 ~ M g
Cd
9.46 min 9.01
E-16
12.49
1 Al(n, J . ) 2 ~ N a
Cd
15.03 h 1.60 E-16 4.88
45Sc(n.
i,)
6
S
C
*
Cd
84.0
d
3A5
E-12
0.63
56Fe(n.
p)56:Yln
Cd
2.587 h 1.35 E-17
5.78
58Ni(n. p)58mco
71 3 d 2A7 E-14 2.80
58Ni(n,
p)5smcO
Cd
71.3
d
2.48 E-14
7.17
115In(n,
i
6mIn
53 34
mm 1.75
E-il
1AO
115In(n. j.
m
In
Cd
53 34
min
L22 E-l1
0.82
55Mn(n.
;)
Mn
155.2 min
5.73 E-12
8.62
55Mn(n, {)56Mn
Cd
155.2 min 2.79 E-13
8.20
9
Au(n. ;V
9B
Au
2.695 d 5.86
E-li
2.94
197Au(n ,)198Au
Cd
2.695 d 3.22
E-l1
1.60
115In(n.
n')115mIn
Cd
4.5 h
4.56 E-14
1.30
47Ti(n,
p)
47
SC
Cd
80A
h
4.29 E-15
L13
4BTi(n,
p)'''BSC
Cd
44.1 h
3 92
E-17
0.74
Deleted from the unfolding procedure
3 2
Cross section library and neutron self hielding
The calculations were performed for 620 energy groups using the cross
section library
DOS ROSn
[13].
For
all the detectors the neutron
self-shielding correction was obtained by applying modified cross section
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SELTROS SPECTRu· \f DETERJflSATfOX
41
values in the cross section library, correcting each of the 620 group cross section
values of the reactions as follows:
22)
where:
23)
and r =
Nu}
is the thickness of the detector measured in units of mean free
path for absorption;
N
is
the number of target atoms per unit volume;
j
is the total cross section for goup
j;
t
is
the thickness of the detector;
E is
the exponential integral of the third order.
This approach enables us to introduce group cross sections corrected for
selfshielding. In absence of appropriate total cross section data capture cross
sections were used. To minimize the selfshielding effects thin dilutions of
detector materials were applied, except the threshold detectors.
3 3 nput neutron spectrum
The input neutron spectrum was a LWR type WWR reactor spectrum
available from reactor physics calculations in
49
energy groups [14J modified
in accordance with our former measuring results. Using the special inter-
polation
and
extrapolation procedure included in the unfolding program this
information was converted into a 620 groups spectrum. The joining point
between the Maxwellian and intermediate neutron energy region was
determined at energy E
'
2 x
10 7
MeV. The input spectrum
is
seen in Fig.
2.
3 4 Results
The reaction rates of
17
activation detectors were determined, however 4
reactions had to be deleted from the analysis showing incompatibility with
respect to the other detectors.
The aim of the investigations was, besides determining the actual form of
the neutron spectrum, to show the effect of the weighting function defined by
the program S NDBP on the unfolding procedure. For this purpose two
different runs were performed in conditions shown by Table 2.
In case of u= u= 0 no weighting with error values was used, while the
conditions u
= 2,
v
=
0 took the activity errors
of
the detector set into account
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42 E ZSOLNA
Y E.
SZONDI
05 Core
1016
.-----,.:----,------:..,-.----,---- --,....-----,---,---;----,---...,---,
Fig 2.
The input neutron spectrum
Table 2
lifolding conditions
and
integral parameters of the solution neutron spectra
No. of iterations
Ratio
of
measured to calculated
activities in confid. interval units
tPlolal
[m -1s 1 ]
tP>DleV
[m
2
s
1
]
tP .n leV [m 2S ]
tP>.2eV
[m
2
s
l
]
U=l =O
3
4.50
1.004E16
1.792E15
3.404E15
6.185E15
l I=2, r=O
3
3.79
1.008E16
1.817E15
3.562E15
6.596E15
during the unfolding procedure. As the difference between the error values of
the detector activities was rather large in the present case
see
Table 1.),
=
2
was chosen to ensure a bigger role for the more accurate reaction rates in
determination of the solution neutron spectrum [10]. The neutron spectra
obtained and some integral parameters referring to them are presented in
Figures 3 and 4 and in Table 2.
From the figures it is seen that the solution only slightly affects the
thermal part of the input spectrum but it changes the intermediate and fast
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0
:g
~
SEloTRON SPE TRUM
DETERMIS TlOS
5 ore
position without errors)
Differential spectrum obtained after 3 Iteration limit (
DPHI
/
DU
)
10
15
r - - - ~ - - - - ~ - - - - - - - - - - ~ - - - - ~ - - - - - . - - - - - . - - - - ~ - - - - ~ - - - - ~ - - - - __
~
i
~ 1 0 1 4
r - - - - - ~ - - f - - - - - - - ~ - - - - - L - - - - ~ - - - - _ . - - - - ~ - - - - - - - - - - - - ~ - - - - ~ - - - - ~
- T147[ R)SC47
~
INllS[NN)INllSM \
I 1
NIS8[N.P)C05SM, y ) ? O S8M
43
: i =::EJ.27[NP)MG27
10
13
L . : - - - - - - - L - - ~ - - - - - - . : - - - - - - - - - - _ _ _ ____ _: ____ ____ ______ O : A L " , ; 2 1 J . 7 : f [ N i , A ~ , ) t , t , N ~ A 1 . 2 q L : i ,
. .:'
10
10
10
9
10-
8
10
7
iQ-6 lO S 10-
4
10-
3
10-2 10-
1
100 101
Neutron energy [MeVl
Fig
3. Solution
neutron
spectrum
obt ined
after 3 iterations in case
of tI
=
u
=0
10-9
5
ore
position with act. errors)
Difierentiai spectrum obtained after
3
Iteration limit
DPHI/DU)
10 8 10
7
10
6
10-5 10-
4
10-3
Neutron energy
[MeV
J
I T147[ .P)SC47
INllS,[N.N)INllS_M \
NISS[Ntco58M
NISS[N,P)COS8M
_____.11
,
; i All 7(NP)MG
27
IAL
27(NA l NA24
1
10-2 10 1 100 10
1
Fig. 4. Solution
neutron spectrum obt ined
after 3
iter tions
in case of u=2
v o
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t
ZSOLNAY E.
SZONDI
energy region to a higher degree. Both solution spectra have some probably
largely artificial structure in the intermediate neutron energy region, but in
case of
t
2 the shape of the spectrum
is
smoother showing the effect of
weighting with the activity errors. This solution seems to be more realistic. In
the energy region (between
10
3 and about 1 ivleV poorly (or not) covered by
the response of the detector set applied the solution obtained with error
weighting ref1ects the input spectrum. However, in the other case some artificial
structure is introduced also in this part of the spectrum. In the fast energy
region, in the vicinity of 1 MeV, the effect of the oxygen resonance scattering
can be seen.
The intergral data ill Table 2 also sho\\ the difference between the two
solutions.
The correlation matrices for the solution neutron spectra are given in
Figures 5 and 6 in perspective representation. Strong correlation can be
observed between the flux density values
Fig 5. Correlation matrix for the solution neutron spectrum in case of
It
= =0
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SE TROS SPECTRUM DETERMJS TJOS
I l I l
therm l
r gion
Fig
6. Correlation matrix for the solution neutron spectrum in case of II 2. r 0
in the thermal
- in the intermediate
nd
- in the fast
neutron energy regions.
45
f
the activity errors are taken into account in the unfolding procedure
u 2, U
0
the solution
is
determined by the more accurate activity values. As
a result. the correlation matrix in this case has a less perturbed smoother
character compare Figures 5
nd
6 . The investigation
of
the structures in the
correlation matrices
nd
their interpretation is presently in progress.
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46
E ZSOL.VAY E.
SZONDI
Summary
The main features of the neutron spectrum unfolding code
SANDBP
are described
and
some results
obtained using this code are presented.
The program determines the neutron flux density spectrum from multiple foil activation
measurements using an iterative method. Response functions deriving from the unfolded neutron spectrum
can also be calculated. furthermore Monte-Carlo error analysis can be performed.
The neutron spectrum in the centre of the core of the Budapest Technical University s nuclear reactor
was measured and unfolded with aid of this program.
Acknowledgements
Thanks are given to
dr
Gy.
Csom
the director of the Institute for his interest
in
our work.
Thanks
are also due to Ms.
t. Sipos
for her assistance in the measurements
and
the computer work.
References
l.
McELROY
W
N. et
al : SAND
H.
Neutron
Flux Spectra Determinations by Multiple Foil Activation
Iterative Method. RSIC Computer Code Collection CCC-112. Oak Ridge National Laboratory.
Information Center, May
1969
2 FISCHER A : The
Petten Version of the
RFSP-JUL
Program.
R
M. G. Note 76/10. Petten, April 2nd,
1976
3 K A ~
F. B K et
al :
CRYSTAL BALL. A Computer Program for Determining Neutron Spectra from
Activation Measurements. ORNL-TM-4601. Oak Ridge National Laboratory, June
1974
4 ZUP
W. L et
al :
Comparison of Neutron Spectrum Unfolding Codes. The Influence of Statistical Weights
..in the SAND H Unfolding.
ECN
79-009, Petten,
January
1979
5 PEREY
F. G.: Least Squares Dosimetry Unfolding. The Program STAY SL. ORNL-TM-6062;
ENDF-
254.
6
Computer code WINDOWS,
ORNUTM-6656.
7
ZSOLNAY
E M.: Neutron Metrology in the L F.
R
Neutron Flux Density Spectrum in the Inner Graphite
Reflector of the
L
F.
R
ECN-77-134 Petten. October
1977
8 ZUP W
L
et
al :
Comparison of Neutron Spectrum Unfolding Codes. ECN-76-109, Petten. August 1976:
ECN-79-008. Petten. January 1979
9 ZSOLNAY
E M.-VIRAGH E.-SZONDl E J : Dosimetry Measurements in the Mixed (Neutron and
Gamma) Radiation Field of the Budapest Technical University s Nuclear Reactor. In: Proceedings of
the Third ASTM-Euratom Symposium on Reactor Dosimetry. Ispra (Varese) 1 to 5 October
1979
EUR 6813 EN-FR Vol. 1 (1980)
10
ZSOLNAY
E
M.-SzoNDlE
J :
Experiences with the
Neutron
Spectrum Unfolding Code SANDBP. BME
TR-RES-4/8l. Budapest. May
1981
11 SZONDl
E
1 :
User s Guide to the Neutron Spectrum Unfolding Code SANDBP.
To be
published.
[2.
SZONDl
E.
1.-ZsOl ,.\
E
M :
SA?\DBP. An Iterative Neutron Spectrum Unfolding Code. BME-TR
RES 2/81.
Budapest, March [981.
13
Zup W L.-NOLTHENIl S H. 1.-VAN
DER
BORG
NICO
J. C M : Cross Section Library DOSCROS77.
ECN-25. Petten, August [977.
14
Report
KFKI
76-76, Hungarian Academy of Sciences Central Research Institute for Physics, Budapest,
1976.
15 CSOM
Gy.: The Nuclear Training Reactor of the Budapest Technical University. Budapest, 1981.
Published in the Periodica Polytechnica El Eng. 26;1-2.
Eva
M ZSOLNAY
Dr. Egon J SZONDI
}
H-1521 Budapest